Kechida Ahmed and Drai Redouane and Khelil Mohamed2D Gabor Functions and FCMI Algorithm for Flaws Detection in Ultrasonic Images2883 - 2887200719International Journal of Computer, Electrical, Automation, Control and Information Engineeringhttp://waset.org/publications/6044http://waset.org/publications/9World Academy of Science, Engineering and TechnologyIn this paper we present a new approach to detecting a
flaw in T.O.F.D (Time Of Flight Diffraction) type ultrasonic image
based on texture features. Texture is one of the most important
features used in recognizing patterns in an image. The paper
describes texture features based on 2D Gabor functions, i.e.,
Gaussian shaped bandpass filters, with dyadic treatment of the radial
spatial frequency range and multiple orientations, which represent an
appropriate choice for tasks requiring simultaneous measurement in
both space and frequency domains. The most relevant features are
used as input data on a Fuzzy cmean clustering classifier. The
classes that exist are only two &039;defects&039; or &039;no defects&039;. The proposed
approach is tested on the T.O.F.D image achieved at the laboratory
and on the industrial field.International Science Index 9, 2007